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We are looking for a talented and creative Backend Software Engineer to join us.
This is a fantastic opportunity to join our excellent team and grow with the company.
If youre dedicated, friendly, appreciate challenges, and looking for something beyond the ordinary - Then your place is with us!

we are looking for a Site Reliability Engineer.
Role Responsibilities:
Write high-quality infrastructure-as-code that automates the provisioning, deployment, scaling, and monitoring of infrastructure to ensure that it is reliable and performant
Write maintainable code for product functionality with a primary emphasis on operations, scale, resiliency, and monitoring
Work with other engineers to ensure that new services are well-designed, properly monitored and have well-defined SLIs and achievable SLOs
Debug production issues, learn to mitigate them quickly, and find ways to prevent them
Maintain runbooks for manual tasks and replace those runbooks with automation whenever possible
Proactively track our capacity, quotas, and other performance limits to plan for growth
Participate in a 24x7 on-call rotation to handle product availability issues as well as urgent customer support escalations

Review and analyze system specifications and requirements to create and update comprehensive test case documentation (STD, STP).
Perform manual testing for special on-demand flows, ensuring thorough coverage and effectiveness..
Validate that new features are tested to meet acceptance criteria and align with quality standards.
Collaborate with a cross-functional R&D team using scrum methodology, contributing actively to continuous improvement initiatives
Read and analyze logs to identify issues, trends, and escalation points.
Provide reports on progress, testing outcomes, and quality metrics to stakeholders, ensuring transparency and communication throughout the testing process.

we are looking for a Technical Support Engineer.
As a Technical Support Engineer you will
Respond promptly and professionally to customer inquiries via phone, email, or chat, providing technical support and troubleshooting assistance.
Work to meet and exceed internal and external SLAs
Identify and diagnose software issues, and guide customers through step-by-step resolutions.
Escalate complex technical issues to higher-level support teams when necessary, ensuring proper documentation and follow-up.
Assist customers with product installations, configurations, and updates.
Collaborate with cross-functional teams, including developers and engineers, to address customer concerns and provide effective solutions.
Document and maintain records of customer interactions, inquries, comments, and actions taken, utilizing the ticketing system.
Provide proactive customer education and self-help resources to reduce repetitive inquiries and improve customer satisfaction.
Collaborate with the Quality Assurance team to identify and report software bugs and usability issues.
Help develop and implement support methodologies, build workflows and define support operations
Gather customer feedback and share it with QA, R&D, Engineering, and Production teams.
Strive for best-in-class support experience and drive exceptional CSAT results
Stay up-to-date with product knowledge, industry trends, and technology advancements to provide accurate and efficient support.

We are looking for a Senior Backend Engineer to join our Analytics team based in Israel. This role reports to the Manager, Software Engineering. we curates and contextualizes data from hundreds of security and business tools to help companies understand and address their riskiest problems.
You will leverage our robust data platform and security modules to provide immediate benefits to customers while making the world a more secure place.
What youll do (Role Expectations):
Design, develop, and maintain scalable backend services within a cutting-edge microservices architecture using Scala and Java/Spring Boot
Optimize performance, cost, and reliability of services in production while ensuring efficient data management across stores like Snowflake, Trino, and Apache Iceberg
Drive innovation in semantic layers, query optimizations, and analytics capabilities to refine and expand our technology stack
Operate seamlessly across product, UX, and frontend teams to deliver high-scale features from inception to production
Mentor junior engineers and elevate the teams technical capabilities through high-accountability partnership

We are looking for a Senior Frontend Engineer to join our Analytics team. This is a hybrid role based in Israel, reporting to the Manager, Software Engineering.
Youll thrive on turning deep analytical challenges into elegant, simple user experiences by mastering our powerful semantic layer and customer use-cases. Our team creates the lens through which customers explore their data, empowering security experts with intuitive tools that transform complex information into clear, actionable insights.
What youll do (Role Expectations):
Architect and develop user interfaces for our Analytics platform using React and TypeScript
Build efficient, reusable, and scalable frontend features that leverage our semantic layer and data infrastructure
Lead technical design and development cycles from concept through to production
Partner closely with UX designers, product managers, and other engineers to bridge the gap between technical power and user experience
Drive the evolution of our frontend stack by researching and applying new technologies and best practices

We are looking for a Fullstack Team Leader who can rally a team behind a vision, build it efficiently, and have the foresight to help the company scale through software. This position is meant for those who want to be in the thick of things and make impactful decisions.
You will be building and maintaining our most sensitive systems and platforms that enable and empower our companys growth. Our system supports millions of requests per second and should be built to scale and high performance. In our data-driven environment, your team's planning and implementation has a crucial role in our ability to support our clients.
we are a fantastic place to work. We reward talent. Our employees support each other to advance individually and as a team. Most of all, we exceed our clients expectations while still having fun.
Responsibilities:
Design, code, and manage large scale, highly available, real-time (low latency) services using cutting edge technologies (Node.js, React, Redis, Kubernetes, etc. over AWS).
Lead and mentor a team of around 4 members, abroad, and performing code reviews to other team members.
Work with stakeholders including the Executive, Product, Data, and Design teams to craft the most optimal solutions for our problems.
Design and develop APIs or integrate with 3rd party APIs.
Manage a time-efficient sprint plan. Plan, groom and manage the present sprint and the upcoming ones with Product.
Understand and implement security and data protection needs, and assist in-house teams and supply creative solutions for various problems.

We are seeking a Senior Data Engineer to join our R&D organization as part of a backend-oriented team, responsible for building and scaling the core data infrastructure.
In this role, you will design and develop data pipelines that stream and process data directly from production systems. You will play a key role in shaping our data platform, building robust, scalable infrastructure and pipelines using modern technologies, and working hands-on with both new components and existing systems.
Responsibilities
Collaborate as a strong team player within a dynamic, cross-functional environment
Design, develop, and maintain scalable data models, Lakehouse architectures, pipelines, and ETL processes
Enhance data workflows to support efficient real-time and batch processing
Work closely with cross-functional teams to understand data requirements and deliver impactful solutions
Stay up to date with the latest data engineering technologies and best practices, continuously improving our data platform.

We are looking for an ML Engineer / MLOps Tech Lead to promote machine learning engineering excellence. Someone who is passionate about building scalable, high-quality data products and processes, while ensuring production systems maintain strong real-time performance observability.
You will focus on designing and maintaining the core infrastructure that empowers the Machine Learning Engineers working within Data Science product teams. Youll collaborate closely with stakeholders across data science, product, and engineering, playing a pivotal role in driving the business by architecting and enabling the infrastructure for machine learning model development, serving, and lifecycle management-the foundation of our product.
Responsibilities:
Collaborate with product, data science, and engineering teams to solve complex problems, identify trends, and create opportunities through robust ML infrastructure.
End-to-end ML delivery - enabling model performance development, training, validation, testing, and version control.
Build and support monitoring and observability tools - dashboards, alerts, and performance tracking of models in production.
Lead architecture projects such as: Feature Store, Vector / Graph Databases.
Data wrangling - supporting and enabling data requirements for research, training, validation, and testing.
Drive engineering best practices including code and model versioning, CI/CD pipelines, rollout strategies, and disaster recovery procedures.

we are on a mission to bring identity security everywhere - to every human, machine, and AI agent, both on-prem and in the cloud. Our unique technology secures identities & access at runtime, in ways that werent possible before. With the broadest identity security platform in the market, trusted by more than 1,000 customers including many Fortune 100 companies, we are uniquely positioned to lead the fast-growing identity security category.
Joining our company means becoming part of a fast-moving team with a culture of innovation and collaboration, that goes above and beyond to help our customers and each other, on a journey to reshape the future of identity security.
As a DevOps Engineer, youll design and implement a full CI/CD solution on AWS and Azure with Kubernetes, while supporting and scaling our cloud infrastructure using Infrastructure as Code.
Responsibilities
Design and implement robust, scalable, and highly available cloud solutions to ensure seamless service delivery and support rapid business growth
Focus on cross-service integrations and components within the SaaS stack, adhering to DevOps best practices
Develop, enhance, and maintain CI/CD pipelines using a GitOps-driven approach, ensuring efficient and secure deployment workflows
Streamline processes through automation, focusing on scalability, security, metric collection, and enhanced visibility across environments
Partner with developers to optimize service reliability, performance, failover strategies, and scalability
Work as part of an innovative and high-performing team, leveraging modern tools and technologies.

we are on a mission to bring identity security everywhere - to every human, machine, and AI agent, both on-prem and in the cloud.
Our unique technology secures identities & access at runtime, in ways that werent possible before. With the broadest identity security platform in the market, trusted by more than 1,000 customers including many Fortune 100 companies, we are uniquely positioned to lead the fast-growing identity security category.
Joining our company means becoming part of a fast-moving team with a culture of innovation and collaboration, that goes above and beyond to help our customers and each other, on a journey to reshape the future of identity security.
We are looking for a Full Stack Software Engineer to join us. As a Full Stack Software Engineer at our company, you will work across the stack, from backend services that process and analyze large-scale security data to a modern frontend that transforms complex information into intuitive, actionable workflows. You will design and maintain high-performance systems that process millions of authentication events daily, ensuring reliability, scalability, and real-time insights. 
Responsibilities
Design and deliver end-to-end features across high-performance systems
Architect and build scalable services for processing, analyzing, and exposing large-scale security data
Develop advanced security engines with a focus on performance, scalability, and reliability
Own features end-to-end, from design through production and continuous improvement
Collaborate closely with product, support, and cross-functional teams to deliver high-impact solutions.

Were looking for a Senior Data Scientist to take full ownership of high-impact ML problems within our DSP platform.
You will work on core bidding, budget optimization, and prediction systems that operate at massive scale and strict latency constraints. This role combines deep modeling expertise, experimentation rigor, and strong product intuition.
You will be expected not only to build models - but to define problems, challenge assumptions, and drive measurable business impact.
What Youll Do:
Own end-to-end ML projects: problem definition → research → modeling → offline validation → production deployment → online A/B testing → impact analysis.
Develop and improve models for: Bid optimization , Conversion rate / pLTV prediction, Budget pacing and allocation, Auction dynamics & win-rate modeling.
Analyze large-scale, high-dimensional auction and user-level datasets to extract actionable insights.
Design robust feature engineering pipelines across behavioral, contextual, and advertiser-level signals.
Improve model performance under real-time constraints (low latency, high throughput).
Lead experimentation design and statistical validation of online tests.
Collaborate closely with engineering and product to translate research into scalable production systems.

Join our team as a Geo Analyst and play a key role in producing the underground utility maps that sit at the heart of our product. In this entry-level position, youll work hands-on with diverse geospatial datasets and real project outputs, developing a deep understanding of how raw information becomes accurate, high-impact mapping for our customers.

Responsibilities

Process, extract, and analyze spatial data from multiple sources, including aerial imagery, remote sensing, engineering plans, surveys, and web-based datasets.
Deliver customer projects on time and at high quality, working in a fast-paced, deadline-driven environment.
Interpret and classify underground utilities and construction activities using geospatial tools and digital imagery.Work with GIS tools (mainly QGIS) to review, validate, and edit geospatial data.
Perform quality assurance (QA) in collaboration with external and internal experts.

We're seeking an experienced Full-Stack engineer proficient in both front and back-end programming, dedicated to leveraging technology for impactful product development. As a key member of the application team, your role involves designing and developing scalable front-end solutions, web architecture, and end-to-end platform services. Collaboration with product managers, UX/UI designers, and Geo-information analysts is essential to deliver robust features.



Responsibilities

Build top-notch, scalable, and reusable code, adhering to best practices in software engineering, architecture, and processes, including code reviews and testing.
Take complete ownership of new features, collaborating with PMs to define requirements, design scalable solutions, and iteratively enhance them based on user feedback.
Lead the development and maintenance of microservices, contributing to the evolution of our architecture for enhanced scalability and modularity.
Collaborate closely with cross-functional teams to define, design, and deliver high-quality software applications that align with both technical and business requirements.

At our company, Israels first fully digital bank, were building the technology that powers a new era of intuitive, transparent, people-first banking. As our platform grows and our services expand, were looking for a team leader to lead a data engineering team.
The team is responsible for ingestion, processing, and serving bronze level data to other analytic teams in the organization.
In this role, you will define the data architecture of our unified Data Lakehouse, own all ETL and streaming operations, define governance processes and implement tools, make sure our data is fresh, accurate and whole always.
Your Day-to-Day
Menor and lead a team of 4-6 data engineers.
Own sensitive data operations, including monitoring, on-call and production operations.
Build and manage all ETL and streaming operations related to the Data Lakehouse.
Develop, maintain, and optimize robust data pipelines and integrations across multiple systems.
Build a platform for other analytic teams to build data products on top of the Data Lakehouse.
Define and implement quality and governance processes to make sure data is fresh, accurate and whole.
Collaborate with engineering, BI, and business teams to translate requirements into scalable data solutions
Work hands-on with data orchestration, transformation, and cloud infrastructure (OCI, Snowflake, AWS)
Support implementation of best practices in data management and observability.